…Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and teaching technical concepts to…

…inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible…

About the Role and Team As a Principal Research Engineer on the Post-Training team, you will drive the technical vision, execution, and evolution…

…Fine-tuning or post-training (SFT, RLHF/DPO), RAG over proprietary technical data, or multi-agent orchestration - Deep software engineering: C++ or Rust, developer…

…speech models, agentic workflows, pre+post-training, and inference optimization. Experience leading research collaborations with engineering, product, and research teams, including architectural design, model…

…Our Industrial Compute organization develops and deploys large-scale AI campuses designed to support the next generation of frontier model training and inference workloads…

…This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This…

…This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This…

…of clinical research in collaboration with leadership - Lead projects from conceptualization to execution, driving deep analytical insight through strategic analysis, causal inference, and experimentation…

…Learning Engineer focused on research enablement and performance, turning promising experiments into stable, scalable, user-facing capabilities while making training and inference faster, cheaper…

…a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research). Expert-level SQL; complex query optimization, performance tuning, and…

…example, Grove and gateway-api‑inference‑extension), composing their architectures with scalability, resilience, and multi‑node training/inference in mind. Advance scalability and performance…

…through deliberate post-training choices (LoRA, quantization-aware training, distillation recipes, GRPO, etc.) and validating the wins on production traffic patterns. ➢ Engineering High-Performance…

…Collaborate with engineers from SIG, Data Science and Firmware teams to translate research prototypes into scalable, efficient, and cost-effective ML inference systems. QUALIFICATIONS…

…in experimental evidence, willingness-to-pay research, and elasticity data. - Build the experimentation infrastructure: Work with Engineering and Data to create systems that enable…

…Integrate emerging research from the broader AI community into Waymo’s Encoders and Sensor understanding models Develop and maintain scalable data pipelines for Training…

…You will optimize inference and training performance for the JAX framework and the OpenXLA compiler on NVIDIA GPUs at scale. You’ll collaborate with…

…and real-time inference Profile and optimize the performance of scientific applications, AI training, and inference workloads so sophisticated research workflows reach their full…

…our Higher Education and Research Team. This role supports academic developers working on LLMs, VLMs, pretraining, post-training, evaluation, inference studies, scalable systems, and…

…Our research team pushes the frontier of post-training and reinforcement learning. Our applied AI team sits side-by-side with customers as they…

…KEY RESPONSIBILITIES: - Architect and build scalable, resilient backend infrastructure to support distributed training, inference, and data processing pipelines - Lead technical design discussions, mentor engineers…

…In the last few months alone we launched Fireworks Training, partnered with Microsoft Azure Foundry, and published research straight from our production systems. A…

…firmware—into reliable compute that customers can train and inference on at scale, spanning infrastructure engineering, provisioning, validation, operations, and support. You'll engage…

…Experience building end-to-end pipelines that span data curation, training, evaluation, export, and inference in production settings. With a competitive salary package and…

…inference or training workloads for latency, throughput, utilization, availability, and cost. Experience building or operating model serving, inference gateways, agent runtimes, workflow engines, developer…